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The Latest AI/ML Topics

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Is Your Team AI-Ready? 5 Strategies to Upskill Your Engineers
To get your team AI-ready, focus on culture: solve real problems, share knowledge, experiment safely, mentor peers, and measure outcomes.
August 4, 2025
by Rupesh Dabbir
· 3,335 Views · 5 Likes
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Fine-Tuning LLMs Locally Using MLX LM: A Comprehensive Guide
MLX enables local LLM fine-tuning on Mac with LoRA. Train 7B models using 16GB RAM, eliminating cloud costs while maintaining quality.
August 4, 2025
by Aditya Karnam Gururaj Rao
· 10,895 Views
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AI for AI: How Intelligent Systems Are Shaping Their Own Evolution
AI for AI uses artificial intelligence to build and optimize other AI systems, boosting efficiency while raising ethical and data-related concerns.
August 4, 2025
by Praveen Kumar Myakala
· 8,304 Views · 61 Likes
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How to Build an MCP Server With Java SDK
Develop an MCP Server from scratch using only the Java SDK, test it with the MCP Inspector and use it in conjunction with Claude Desktop.
August 4, 2025
by Horatiu Dan DZone Core CORE
· 4,759 Views · 12 Likes
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Meta-Learning: The Key to Models That Can "Learn to Learn"
Learn how meta-learning helps AI adapt fast with little data—plus key methods, challenges, and use cases powering next-gen intelligent systems.
August 1, 2025
by harshraj bhoite
· 2,462 Views · 2 Likes
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ITBench, Part 2: ITBench User Experience – Democratizing AI Agent Evaluation
This post dives into how ITBench enables realistic AI agent evaluation through streamlined onboarding, automated benchmarking, and operationally relevant metrics.
August 1, 2025
by Anca Sailer
· 1,895 Views
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MCP Logic: How to Make It 40x Simpler
MCP requires logic. A declarative approach reduces code 40x using spreadsheet-like business rules. Here's a project comparing procedural and declarative.
August 1, 2025
by Val Huber DZone Core CORE
· 3,037 Views · 5 Likes
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Docker Offload: One of the Best Features for AI Workloads
Docker Offload enables running container builds and workloads in the cloud while maintaining a local development experience using Docker Desktop.
August 1, 2025
by Naga Santhosh Reddy Vootukuri DZone Core CORE
· 3,728 Views · 2 Likes
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How GitHub Copilot Handles Multi-File Context Internally: A Deep Dive for Developers, Researchers, and Tech Leaders
A deep dive into how GitHub Copilot handles multi-file context in real time using embeddings, symbols, and prompt queues to deliver smarter, context-aware suggestions.
August 1, 2025
by SHALLABH DIXITT
· 4,274 Views · 2 Likes
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AI-Powered AWS CloudTrail Analysis: Using Strands Agent and Amazon Bedrock for Intelligent AWS Access Pattern Detection
In this post, I came up with a solution that addresses the critical challenge of efficiently analyzing AWS CloudTrail logs to identify security threats.
August 1, 2025
by Anil Malakar
· 3,179 Views · 2 Likes
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KV Caching: The Hidden Speed Boost Behind Real-Time LLMs
LLMs slow down as outputs grow due to repeated attention over past tokens. KV caching skips redundant work by reusing keys and values, enabling 3–4× faster inference.
August 1, 2025
by Srinidhi Goud Myadaboyina
· 2,898 Views · 2 Likes
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AI-Powered Product Recommendations With Oracle CDC, Flink, and MongoDB
I’ll show you how I used Oracle, Kafka, Flink, OpenAI, and MongoDB to build a real-time personalization engine from scratch.
July 31, 2025
by Sean Falconer
· 1,855 Views
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Revolutionizing the Command Line: An Introduction to Gemini CLI
Gemini CLI is an open-source AI-powered tool from Google that runs in the terminal, offering features like code analysis, task automation, and file handling.
July 31, 2025
by Praveen Kumar Myakala
· 6,387 Views · 33 Likes
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Building a VS Code-Like Online IDE With Next.js 15, TypeScript, Tailwind CSS, and Goose AI
Build an online IDE with Monaco Editor, Next.js 15, TypeScript, Tailwind CSS, and Goose AI, offering AI-powered code suggestions triggered by comments.
July 31, 2025
by Guhaprasaanth Nandagopal
· 3,128 Views · 2 Likes
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Amazon Q Developer: The Future of AI-Enhanced Coding Productivity
In this article, learn how Amazon Q Developer, an AI-powered coding assistant, boosts productivity with smart code suggestions, tests, docs, and refactoring tools.
July 31, 2025
by Dinesh B
· 2,123 Views · 2 Likes
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From Raw Data to Model Serving: A Blueprint for the AI/ML Lifecycle With Kubeflow
Learn the entire ML lifecycle—from data preparation to live inference—leveraging the Kubeflow platform to create a cohesive, production-grade MLOps workflow.
July 31, 2025
by Helber Belmiro DZone Core CORE
· 2,467 Views · 1 Like
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Vibe Coding: Conversational Software Development — Part 3: Prompt Discipline
In part 3 of this series, learn how prompts shape AI-driven development in vibe coding, and how to craft effective system prompts for better coding outcomes.
July 31, 2025
by Gaurav Gaur DZone Core CORE
· 2,115 Views · 7 Likes
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Demystifying Convolutional Neural Networks (CNNs) in the Deep Learning
Convolution uses small filters to scan data, multiplying and summing overlapping entries to efficiently detect patterns and build hierarchical features.
July 29, 2025
by Mahesh Ganesamoorthi
· 1,751 Views · 1 Like
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2025 Gartner Magic Quadrant for iPaaS: A Shift Towards Intelligent Automation
The 2025 Gartner iPaaS report highlights a shift toward AI-driven, low-code platforms, with Workato rising to Leader and MuleSoft slipping to Challenger.
July 29, 2025
by Susmit Dey DZone Core CORE
· 6,120 Views · 1 Like
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From Development to Deployment: Automating Machine Learning
A step-by-step journey of a machine learning model from development to deployment using containers and Infrastructure-as-Code tool Terraform.
July 29, 2025
by Yashraj Behera
· 2,517 Views · 4 Likes
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